Theoretical Perspectives on Deep Learning Methods in Inverse Problems

29 June 2022

Papers citing "Theoretical Perspectives on Deep Learning Methods in Inverse Problems"

7 / 7 papers shown

Title
Generative adversarial networks with physical sound field priors X. Karakonstantis Efren Fernandez-Grande GAN 25 11 0 01 Aug 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 18 0 0 09 Mar 2023
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 25 11 0 31 May 2022
Deep Unrolled Recovery in Sparse Biological Imaging Yair Ben Sahel John P. Bryan B. Cleary Samouil L. Farhi Yonina C. Eldar SyDa 24 16 0 28 Sep 2021
Learned super resolution ultrasound for improved breast lesion characterization Or Bar-Shira A. Grubstein Y. Rapson Dror Suhami E. Atar Keren Peri-Hanania R. Rosen Yonina C. Eldar 23 12 0 12 Jul 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 174 82 0 15 Feb 2021
Regularization by Denoising: Clarifications and New Interpretations E. T. Reehorst Philip Schniter 54 211 0 06 Jun 2018